HSQLDB
vs
DuckDB
What is HSQLDB?
HSQLDB is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2016. It's the best for Java developers for development, testing and deployment of database applications. HSQLDB provides a small, fast, multithreaded engine and server with memory and disk tables, LOBs, transaction isolation, multiversion concurrency and ACID.
How much does HSQLDB cost?
No pricing information available..
What platforms does HSQLDB support?
Top HSQLDB Alternatives
PouchDB
PouchDB is a free and open-source JavaScript database inspired by Apache CouchDB. The database is designed from the ground-up to run well within modern web browsers. With PouchDB you can create web applications that works as well offline as they do online. PouchDB achives this by storing data locally, then synchronize it with CouchDB and compatible servers when the user get internet access once again. This is especially useful for applications facing countries and regions with lower quality internet connections or unstable infrastructure.
PostgreSQL
PostgreSQL, or Postgres for short is a widely popular, free and open-source relational database management system. PostgreSQL is available for all major operating systems including macOS, Linux, Windows, BSD and Solaris. The project has been in active development for over 30 years now, and powers many of the applications you use on a daily basis.
Amazon DynamoDB
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. The database is fully managed, multiregion, multimaster, and durable with built-in security, backup and restore, and in-memory caching for enterprise-scale applications. Amazon DynamoDB is part of Amazon Web Services and integrates well with other cloud-based AWS products.
The software DuckDB is removed from the Top HSQLDB Alternatives since you are comparing against it. If you are looking for more software, applications or projects similar to HSQLDB we recommend you to check out our full list containing 36 HSQLDB Alternatives.
HSQLDB Gallery
What is DuckDB?
DuckDB is an embeddable SQL OLAP database management system. It provides developers with serious data management features such as extensive support for complex SQL queries and a large function library, with windwed functions. DuckDB is also ACID compliant and proivides transactional guarantees through custom, bulk-optimized MVCC. DuckDB is released fully open source under the permissive MIT Licens. The entire source code of DuckDB is freely available on GitHub
How much does DuckDB cost?
No pricing information available..
What platforms does DuckDB support?
Top DuckDB Alternatives
JanusGraph
JanusGraph is a free and open-source distributed, scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. The project is managed by The Linux Foundation and is released under the Apache Software License 2.0. Large corporations like Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon also supports the project.
MySQL
The worlds most popular free open-source relational database, MySQL is used by 150,000 + companies across the globe. The relational database management system is released and distributed under the GPL license and openly developed by the community. MySQL uses SQL as its query language and is fully integrated and ACID compliant.
PostgreSQL
PostgreSQL, or Postgres for short is a widely popular, free and open-source relational database management system. PostgreSQL is available for all major operating systems including macOS, Linux, Windows, BSD and Solaris. The project has been in active development for over 30 years now, and powers many of the applications you use on a daily basis.
The software HSQLDB is removed from the Top DuckDB Alternatives since you are comparing against it. If you are looking for more software, applications or projects similar to DuckDB we recommend you to check out our full list containing 6 DuckDB Alternatives.